{"id":1483794,"url":"https://alion.io/job/salt-ai-data-engineer","title":"AI Data Engineer","company":{"id":1935342,"name":"Salt","domain":"welovesalt.com","url":"https://alion.io/company/welovesalt","size_band":"201-500","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":{"grade":"C","score":64,"open_postings":1440,"ghost_share":0.608,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-01T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Abu Dhabi, United Arab Emirates"],"countries":["AE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":53000,"max_usd":139000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1536},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-21T00:00:00Z","employer_posted_date":"2026-08-21","last_verified_at":"2026-09-29T22:22:26Z","board_verified":false,"closed_at":null,"days_open":42,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":41},"description":"Back to all jobs\nApplications are now closed.\nAI Data Engineer\nRef: JO-2608-362903\nUnited Arab Emirates, Abu Dhabi \n\nData, AI and Machine Learning, Technology \n\nIT \n\n5,000+ Employees \n\nEnvironment:\n\nIn-office \n\nContract Type:\n\nPermanent \n\nStarts:\n\n2026-10-05 \n\nAbout the Role\nMy client is looking for a hands-on AI Data Engineer to design, build and optimise scalable data infrastructure and pipelines that power advanced AI and analytics initiatives.\nYou will work closely with Software Engineering and AI/ML teams to ensure high-quality, reliable and accessible data across structured and unstructured datasets.\nKey Responsibilities:\nDesign, develop and maintain robust ETL/ELT data pipelines across multiple data sources.\nBuild and optimise scalable data workflows using technologies such as Airflow, dbt or equivalent orchestration tools.\nProcess and transform complex structured and unstructured datasets.\nDevelop data solutions that support AI, ML and advanced analytics use cases.\nImplement data validation, testing, monitoring and quality frameworks.\nDiagnose data issues and proactively improve pipeline reliability and performance.\nCollaborate with AI/ML and Software Engineers to provide reliable and accessible data.\nApply best practices around data governance, security, quality and lineage.\nDocument data architectures, metadata and data flows to ensure transparency and reproducibility.\nOptimise data pipelines and infrastructure for scalability, performance and cost efficiency.\nRequirements:\n5+ years of experience in Data Engineering, ETL development or Data Warehousing.\nStrong hands-on experience with Python and SQL.\nExperience with Airflow, dbt, Luigi or similar workflow orchestration technologies.\nStrong understanding of big data architectures and scalable data pipelines.\nExperience working with large-scale structured and unstructured datasets.\nHands-on experience with at least one major cloud platform: Azure, AWS or GCP.\nStrong understanding of data quality, validation, monitoring and governance.\nExperience diagnosing complex data and pipeline issues.\nStrong communication skills with the ability to work with both technical and non-technical stakeholders.\nBachelor’s degree in Computer Science, Engineering or a related technical discipline.\nIdeal Candidate\nThe ideal candidate will be a production-focused Data Engineer rather than a BI or analytics specialist, with a strong engineering mindset and experience building data platforms that support modern AI/ML environments.\nExperience with Spark, data lakes/lakehouses, streaming, vector databases, RAG pipelines or AI data platforms would be highly advantageous.\nSalt is acting as an Employment Agency in relation to this 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